https://diffio.ai/_nuxt/B7V4FWr6.js

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e=["borderColor","backgroundColor"].concat(r.filter(i=>i.endsWith("Color")));return{animations:{numberArray:{fn:Me,properties:["outliers","items"]},colors:{type:"color",properties:e}},transitions:{show:{animations:{colors:{type:"color",properties:e,from:"transparent"}}},hide:{animations:{colors:{type:"color",properties:e,to:"transparent"}}}},minStats:"min",maxStats:"max",...R}}function G(){return{plugins:{tooltip:{position:M.register().id,callbacks:{beforeLabel:_e}}}}}class Q extends y{_transformStats(e,i,t){for(const n of["min","max","median","q3","q1","mean"]){const s=i[n];typeof s=="number"&&(e[n]=t(s))}for(const n of["outliers","items"])Array.isArray(i[n])&&(e[n]=i[n].map(t))}getMinMax(e,i){const t=e.axis,n=this.options;e.axis=n.minStats;const{min:s}=super.getMinMax(e,i);e.axis=n.maxStats;const{max:o}=super.getMinMax(e,i);return e.axis=t,{min:s,max:o}}parsePrimitiveData(e,i,t,n){const s=e.vScale,o=e.iScale,a=o.getLabels(),l=[];for(let u=0;u<n;u+=1){const d=u+t,h={};h[o.axis]=o.parse(a[d],d);const m=this._parseStats(i==null?null:i[d],this.options);m&&(Object.assign(h,m),h[s.axis]=m.median),l.push(h)}return l}parseArrayData(e,i,t,n){return this.parsePrimitiveData(e,i,t,n)}parseObjectData(e,i,t,n){return this.parsePrimitiveData(e,i,t,n)}getLabelAndValue(e){const i=super.getLabelAndValue(e),{vScale:t}=this._cachedMeta,n=this.getParsed(e);if(!t||!n||i.value==="NaN")return i;i.value={raw:n,hoveredOutlierIndex:-1,hoveredItemIndex:-1}

1,this._transformStats(i.value,n,o=>t.getLabelForValue(o));const s=this._toStringStats(i.value.raw);return i.value.toString=function(){return this.hoveredOutlierIndex>=0?`(outlier: ${this.outliers[this.hoveredOutlierIndex]})`:this.hoveredItemIndex>=0?`(item: ${this.items[this.hoveredItemIndex]})`:s},i}_toStringStats(e){const i=t=>t==null?"NaN":Y(t,this.chart.options.locale,{});return`(min: ${i(e.min)}, 25% quantile: ${i(e.q1)}, median: ${i(e.median)}, mean: ${i(e.mean)}, 75% quantile: ${i(e.q3)}, max: ${i(e.max)})`}updateElement(e,i,t,n){const s=n==="reset",o=this._cachedMeta.vScale,a=this.getParsed(i),l=o.getBasePixel();t._datasetIndex=this.index,t._index=i,this._transformStats(t,a,u=>s?l:o.getPixelForValue(u,i)),super.updateElement(e,i,t,n)}}function U(r,e,i,t=[],n=[]){k.addControllers(i),Array.isArray(t)?k.addElements(...t):k.addElements(t),Array.isArray(n)?k.addScales(...n):k.addScales(n);const s=e;return s.type=r,s}class x extends Q{_parseStats(e,i){return ke(e,i)}_transformStats(e,i,t){super._transformStats(e,i,t);for(const n of["whiskerMin","whiskerMax"])e[n]=t(i[n])}}x.id="boxplot";x.defaults=A({},[y.defaults,K(H),{animations:{numbers:{type:"number",properties:y.defaults.animations.numbers.properties.concat(["q1","q3","min","max","median","whiskerMin","whiskerMax","mean"],H.filter(r=>!r.endsWith("Color")))}},dataElementType:S.id}]);x.overrides=A({},[y.overrides,G()]);class xe extends D{constructor(e,i){super(e,U("boxplot",i,x,S,[L,F]))}}xe.id=x.id;class N extends Q{_parseStats(e,i){return qe(e,i)}_transformStats(e,i,t){super._transformStats(e,i,t),e.maxEstimate=i.maxEstimate,Array.isArray(i.coords)&&(e.coords=i.coords.map(n=>({...n,v:t(n.v)})))}}N.id="violin";N.defaults=A({},[y.defaults,K(P),{points:100,animations:{numbers:{type:"number",properties:y.defaults.animations.numbers.properties.concat(["q1","q3","min","max","median","maxEstimate"],P.filter(r=>!r.endsWith("Color")))},kdeCoords:{fn:Se,properties:["coords"]}},dataElementType:_.id}]);N.overrides=A({},[y.overrides,G()]);class Ne extends D{constructor(e,i){super(e,U("violin",i,N,_,[L,F]))}}Ne.id=N.id;export{S as BoxAndWiskers,xe as BoxPlotChart,x as BoxPlotController,z as StatsBase,_ as Violin,Ne as ViolinChart,N as ViolinController};